The Development of Diagnosis and Prognosis Predictive Model for Peripheral Nerve Disease

The Development of Diagnosis and Prognosis Predictive Model for Peripheral Nerve Disease Using Big Data From Magnetic Resonance Neurography: A Multicenter Cohort Study（MRN-PND）

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06843642

Enrollment

10000

Registered

2025-02-25

Start date

2015-01-01

Completion date

2025-01-01

Last updated

2025-02-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Peripheral Nerve Disease

Brief summary

This is a retrospective observational cohort study (MRN-PND), aiming to explore the utility of contrast-enhanced MRN (ceMRN) compared to plain MRN in diagnosing peripheral nerve diseases and predicting the prognosis of patients with these conditions. Additionally, artificial intelligence (AI) methods are employed to enhance the diagnostic accuracy of MRN for peripheral nerve diseases and to precisely predict disease outcomes.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

1. Patients who underwent MRN scanning at Wuhan Union Hospital between January 2015 and January 2025; 2. Age \> 18 years; 3. Definitive clinical diagnosis (either healthy individuals or patients with a specific condition).

Exclusion criteria

： 1. Poor quality of imaging; 2. Incomplete clinical data or loss to follow-up; 3. Unclear clinical diagnosis.

Design outcomes

Primary

Measure	Time frame	Description
Correlation analysis of MR information and diagnosis outcome	0.5 year	The indicator is the area under the curve of the predict diagnosis outcome.

Countries

China

Outcome results